code: def __init__(self):
      super().__init__()
      self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
      self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
      self.conv2_drop = nn.Dropout2d()
      self.fc1 = nn.Linear(320, 50)
      self.fc2 = nn.Linear(50, 10)
  
file_path: BentoML/examples/mlflow/pytorch/mnist.py
imports: import argparse
  import os
  import mlflow
  import mlflow.pytorch
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torchvision import datasets
  from torchvision import transforms
  import bentoml
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net()